Author

I. Garraway

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Jul 2026

TrajSurv-mPC: Learning From Prostate-Specific Antigen Trajectories for Interpretable and Generalizable Survival Prediction in Metastatic Prostate Cancer.

PURPOSE Conventional prognostic models for metastatic prostate cancer (mPC) typically rely on summary features like prostate-specific antigen (PSA) doubling time, often obscuring informative longitudinal dynamics. We developed TrajSurv-mPC, a flexible deep learning framework that analyzes full premetastasis patient tra...

Si-Hang Zeng, Lukas Owens, Lucas J. Liu et al. · JCO Clinical Cancer Informat... · 0 citations

Open access Jul 2026

Comparative analysis of discriminative and generative natural language processing pipelines for automated prostate magnetic resonance imaging reports

Self-hosted discriminative and generative NLP pipelines were more efficient than generative models in annotating PIRADS from mpMRI report text, providing insights into configurations for optimal clinical deployment when volume is a limiting factor.

D. Lee, N. McCoy, C. Haroldsen et al. · medRxiv · 0 citations